One of the gnarliest puzzles in modern finance is revenue recognition for consumption-based AI-focused businesses like OpenAI and Anthropic. We decided to throw a particularly complex scenario that these types of businesses face at our AI agent for Day 15 of Vibe Accounting.
The challenge is a real world nightmare: customers prepay for credits, but you recognize revenue on usage. Then you add the twist - free promotional credits that can't hit revenue. On top of that, you may have to handle multi-currency conversions, calculating the FX gain or loss between the day of prepayment and the day of usage.
Clearly a mess of branching logic.
We described an initial version of this process to our AI agent and provided it with the required data fields from our billing and usage sources.
Within minutes, the agent took our instructions and generated the complete multi-path workflow, building the precise conditional logic for every single step.
A solid data foundation is what unlocks an AI's true potential. Leapfin's AI agent built this complex logic in minutes because it didn't waste a single cycle trying to interpret or clean up a mess. We ensured its success from the start by feeding it standardized, reliable data from a proper usage-based billing system like Metronome.
This is what the future of the finance stack looks like. A flexible AI partner that builds you a custom deterministic engine - and one that perfectly matches the way your business actually operates.
If you're a finance leader at a company with a truly complex consumption-based revenue model, bring us your messiest problem. Email me and let's see if we can make your jaw drop, too.
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